Following previous posts on life contingencies and longevity and mortality models, I upload additional material for the short course at the 6th R/Rmetrics Meielisalp Workshop & Summer School on Computational Finance and Financial Engineeri...

The Bland-Altman plot is a visual aid for assessing differences between two ways of measuring something. For example, one might compare two scales this way, or two devices for measuring particulate matter. The plot simply displays the difference between the measures against their average. Rather than a statistical test, it is intended...

Graduate students in statistics often take (or at least have the opportunity to take) a statistical computing course, but often such courses are focused on methods (like numerical linear algebra, the EM algorithm, and MCMC) and not on actual coding. For example, here’s a course in “advanced statistical computing” that I taught at Johns Hopkins

The Gibbs sampler discussed on Darren Wilkinson's blog and also on Dirk Eddelbuettel's blog has been implemented in several languages, the first of which was R. In preparation for a session at useR!2012 on "What other languages should R user...

In R, the traditional way to load packages can sometimes lead to situations where several lines of code need to be written just to load packages. These lines can cause errors if the packages are not installed, and can also be hard to maintain, particularly during deployment. Fortunately, there is a way to create a function in R...

In R, the traditional way to load packages can sometimes lead to situations where several lines of code need to be written just to load packages. These lines can cause errors if the packages are not installed, and can also be hard to maintain, particularly during deployment. Fortunately, there is a way to create a function in R that...

Previous posts: Correlation of temperature proxies with observations The “best” proxies for temperature reconstruction Okay, I couldn’t resist. I wanted to provide some more in depth analysis of temperature proxies, but I just went ahead and did my own little reconstruction of Northern hemisphere annual average temperatures over the past millenium using McShane et al.‘s

The open-source RHadoop project makes it easier to extract data from Hadoop for analysis with R, and to run R within the nodes of the Hadoop cluster -- essentially, to transform Hadoop into a massively-parallel statistical computing cluster based on R. In yesterday's webinar (the replay of which is embedded below), Data scientist and RHadoop project lead Antonio Piccolboni...